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HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks.

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Title: HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks.
Authors: Zhao, Bo-Wei1,2,3, Hu, Lun1,2,3, hulun@ms.xjb.ac.cn, You, Zhu-Hong4, Wang, Lei5, Su, Xiao-Rui1,2,3
Source: Briefings in Bioinformatics; Jan2022, Vol. 23 Issue 1, p1-15, 15p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks.
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        Value: 10.1093/bib/bbab515
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        Text: English
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            NameFull: You, Zhu-Hong
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              Text: Jan2022
              Type: published
              Y: 2022
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